Real-time hand gesture recognition using fine-tuned convolutional neural network
Hand gesture recognition is one of the most effective modes of interaction between humans
and computers due to being highly flexible and user-friendly. A real-time hand gesture …
and computers due to being highly flexible and user-friendly. A real-time hand gesture …
A continuous hand gestures recognition technique for human-machine interaction using accelerometer and gyroscope sensors
Recent advances in smart devices have sustained them as a better alternative for the design
of human-machine interaction (HMI), because they are equipped with accelerometer sensor …
of human-machine interaction (HMI), because they are equipped with accelerometer sensor …
Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a
vitally important role in natural human-computer interface. Although great progress has been …
vitally important role in natural human-computer interface. Although great progress has been …
Accelerometer-based hand gesture recognition by neural network and similarity matching
R **e, J Cao - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
In this paper, we present an accelerometer-based pen-type sensing device and a user-
independent hand gesture recognition algorithm. Users can hold the device to perform hand …
independent hand gesture recognition algorithm. Users can hold the device to perform hand …
Design and implementation of a smart home system using multisensor data fusion technology
This paper aims to develop a multisensor data fusion technology-based smart home system
by integrating wearable intelligent technology, artificial intelligence, and sensor fusion …
by integrating wearable intelligent technology, artificial intelligence, and sensor fusion …
Hand gesture recognition using densely connected deep residual network and channel attention module for mobile robot control
Navigating a mobile robot in an indoor or outdoor environment is an interesting research
area for human–robot collaboration (HRC). In such a scenario, hand gesture offers some …
area for human–robot collaboration (HRC). In such a scenario, hand gesture offers some …
Gyroscope-based continuous human hand gesture recognition for multi-modal wearable input device for human machine interaction
H Han, SW Yoon - Sensors, 2019 - mdpi.com
Human hand gestures are a widely accepted form of real-time input for devices providing a
human-machine interface. However, hand gestures have limitations in terms of effectively …
human-machine interface. However, hand gestures have limitations in terms of effectively …
Novel smart home system architecture facilitated with distributed and embedded flexible edge analytics in demand‐side management
YH Lin - International Transactions on Electrical Energy …, 2019 - Wiley Online Library
Summary Demand‐side management (DSM), as an energy audit, has the potential to
reduce electricity costs and the carbon emission associated with the electrical energy used …
reduce electricity costs and the carbon emission associated with the electrical energy used …
Similarity matching-based extensible hand gesture recognition
R **e, X Sun, X **a, J Cao - IEEE sensors journal, 2015 - ieeexplore.ieee.org
This paper presents an accelerometer-based smart ring and a similarity matching-based
extensible hand gesture recognition algorithm. Users can wear the ring to perform gestures …
extensible hand gesture recognition algorithm. Users can wear the ring to perform gestures …
Anubhav: recognizing emotions through facial expression
We present a computer vision-based system named Anubhav (a Hindi word meaning
feeling) which recognizes emotional facial expressions from streaming face videos. Our …
feeling) which recognizes emotional facial expressions from streaming face videos. Our …